updating readme

README.md

@@ -154,7 +154,13 @@ or
 python matcha/train.py experiment=ljspeech
 ```
 
-for multi-gpu training, run
+- for a minimum memory run
+
+```bash
+python matcha/train.py experiment=ljspeech_min_memory
+```
+
+- for multi-gpu training, run
 
 ```bash
 python matcha/train.py experiment=ljspeech trainer.devices=[0,1]
@@ -162,10 +168,11 @@ python matcha/train.py experiment=ljspeech trainer.devices=[0,1]
 
 ## Acknowledgements
 
-Since this code uses: [Lightning-Hydra-Template](https://github.com/ashleve/lightning-hydra-template), you have all the powers attached to it.
+Since this code uses: [Lightning-Hydra-Template](https://github.com/ashleve/lightning-hydra-template), you have all the powers that comes with it.
 
 Other source codes I would like to acknowledge:
 
-- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev)
+- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev) : For helping me figure out how to make cython binaries pip installable
-- [Grad-TTS](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS)
+- [Grad-TTS](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS): For source code of MAS
-- [torchdyn](https://github.com/DiffEqML/torchdyn)
+- [torchdyn](https://github.com/DiffEqML/torchdyn): Useful for trying other ODE solvers during development
+- [labml.ai](https://nn.labml.ai/transformers/rope/index.html): For RoPE implementation

setup.py

@@ -2,7 +2,6 @@
 import os
 
 import numpy
-import pkg_resources
 from Cython.Build import cythonize
 from setuptools import Extension, find_packages, setup
 
@@ -22,7 +21,7 @@ setup(
     url="https://shivammehta25.github.io/Matcha-TTS",
     install_requires=[
         str(r)
-        for r in pkg_resources.parse_requirements(open(os.path.join(os.path.dirname(__file__), "requirements.txt")))
+        for r in open(os.path.join(os.path.dirname(__file__), "requirements.txt"))
     ],
     include_dirs=[numpy.get_include()],
     packages=find_packages(exclude=["tests", "tests/*", "examples", "examples/*"]),